i-Vector Algorithm with Gaussian Mixture Model for Efficient Speech Emotion Recognition-Reference-Cited by-同舟云学术

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i-Vector Algorithm with Gaussian Mixture Model for Efficient Speech Emotion Recognition

Published:2015-12 Issue: Volume: Page:
ISSN:
Container-title:2015 International Conference on Computational Science and Computational Intelligence (CSCI)
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Author:

Gomes Joan,El-Sharkawy Mohamed

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/7420813/7424045/07424139.pdf?arnumber=7424139

Cited by 8 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Trends in speech emotion recognition: a comprehensive survey;Multimedia Tools and Applications;2023-02-22

2. Extraction and Analysis of Speech Emotion Features Using Hybrid Punjabi Audio Dataset;Soft Computing and Its Engineering Applications;2023

3. The Study of Malay’s Prosodic Features Impact on Classical Arabic Accents Recognition;IEEE Access;2023

4. Improving Speaker-Dependency/Independency of Wavelet-Based Speech Emotion Recognition;Lecture Notes on Data Engineering and Communications Technologies;2022-09-01

5. An I-vector-based approach for discriminating between patients with Parkinson's disease and healthy people;Fourteenth International Conference on Machine Vision (ICMV 2021);2022-03-05

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